Senior Product Manager I - Enterprise Analytics

Stellar Health is a US-based Health-tech company focused on improving patient care through technology and analytics. They are seeking a Senior Product Manager to lead their Analytics Engineering team, overseeing the lifecycle of data and reporting products while ensuring alignment with business needs and driving the design and strategy for dashboards and reports.

Responsibilities:

• Drive the Analytics Engineering Roadmap: Serve as the functional lead for the AE squad; manage the backlog, lead sprint ceremonies, and ensure the team is focused on the highest-leverage modeling work
• Define Data as a Product: Own the requirement development for our analytics layers, ensuring dbt models and Snowflake structures are treated as curated products with high standards for uptime, documentation, and usability
• Standardize Business Logic: Drive the creation and maintenance of consistent data definitions across the company. You ensure that metrics are defined once in the modeling layer and used everywhere
• Support QA and Data Validation: Act as a final gate for quality; you will perform and coordinate QA on new data models and reports to ensure they meet business requirements and maintain high data integrity
• Perform Exploratory Analysis: Conduct ad-hoc analysis to validate assumptions, investigate data discrepancies, and help the team understand the impact of new data models on business KPIs
• Own the 'Front-End' Data Portfolio: Lead the design, UX, and strategy for our internal and external reporting suites (Tableau/Looker). You define the standards for how data is visualized and consumed
• Operationalize Data via Reverse ETL: Oversee the integration of analytics data back into business systems (e.g., Salesforce, Customer.io) via Data Contracts to ensure integrations are reliable and resilient
• Collaborate Across Product Squads: Act as the 'voice of data' during the upstream product development process, ensuring that new features are built to support robust downstream analytics

Requirements:

• 5+ years of Product Management experience, specifically within a data-heavy environment (Analytics, BI, or Data Platforms)
• The 'Data-as-a-Product' Mindset: A proven track record of managing data assets with the same rigor as a software product (versioning, SLAs, user feedback loops)
• Analytical Proficiency: Strong ability to query data (SQL) and perform independent analysis to validate requirements or troubleshoot issues
• A 'Front-End' Eye for Data: Experience in dashboard design and a deep understanding of how business users interact with complex information
• Conceptual Grasp of the Modern Data Stack: You should understand the workflow of dbt, Snowflake, and the role of Reverse ETL in operationalizing data
• Experience with Data Contracts: Familiarity with using contracts or schemas to manage dependencies between data producers and consumers
• Upstream Influence: Experience working with application PMs to influence system design for the sake of better data quality and consistent definitions